Given the high burden of hepatocellular carcinoma (HCC), risk stratification in patients with cirrhosis is critical but remains inadequate. In this study, we aimed to develop and validate an HCC prediction model by integrating radiomics and deep learning features from liver and spleen computed tomography (CT) images into the established age-male-ALBI-platelet (aMAP) clinical model.

PaveX, a company founded by a Purdue University engineering professor, leverages AI so public works departments can automate road condition assessments and maintain local road infrastructure. The company has surveyed and assessed more than 3,400 miles of Indiana roads. CEO and founder Mohammad Jahanshahi said PaveX is expanding to support pilot projects in other states, including California, Illinois, Michigan and North Carolina.

Our Milky Way galaxy never sits still: it rotates and wobbles. And now, data from the European Space Agency’s Gaia space telescope reveal that our galaxy also has a giant wave rippling outwards from its centre.

Tokyo faces severe risks due to soil liquefaction, a phenomenon where the ground behaves like a liquid during strong seismic events. To improve existing hazard maps, researchers from Japan developed a new framework that combines extensive borehole data with artificial neural networks. Their model can accurately predict soil properties, producing high-resolution 3D liquefaction hazard maps, helping to improve earthquake risk management in Tokyo and other vulnerable megacities.

An automatic diagnosis system based on wearable augmented reality (AR) glasses and an artificial intelligence (AI)model was developed to assess leafminer damage levels, and it achieved 92.38% accuracy. The DeepLab-Leafminer model incorporated an edge-aware module and the Canny loss function into the DeepLabv3+ model, which enhanced its ability to segment the leafminer damaged area in leaves.A mobile application and a web platform were developed to display the diagnostic results of leafminer damage levels for surveyors to guide their scientific decisions for leafminer prevention and control.